how to fit different lines for scatter points from specific categorical data?

Question

SGL 2019-9-18

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/481019-how-to-fit-different-lines-for-scatter-points-from-specific-categorical-data

编辑： Adam Danz 2019-9-23

I got a table like this:

PLACE	        O18      D
Place3	-9.17	-71.68
Place2	-8.24	-61.47
Place2	-9.79	-70.24
Place3	-5.93	-62.67
Place2	-4.58	-29.3
Place1	-4.44	-26.5
Place1	-4.07	-28.4

...

which I imported like three column vectors: place, oxygen18, deuterium respectively.

plotted using

gscatter(oxygen18,deuterium,place)

and fitted a general tendency line

ft = fittype( 'poly1' );
[fit_line, gof] = fit( oxygen18, deuterium, ft);

now I would like fit a line 'oxygen18' vs 'deuterium' for each group entry in the vector 'place', i.e. 'oxigen18' vs 'deuterium' in Place1 and then for Place2 next for Place3, and so on.

How it could be achieved?.

Thanks.

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Answer 1

Adam Danz 2019-9-18

1
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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/481019-how-to-fit-different-lines-for-scatter-points-from-specific-categorical-data#answer_392499

编辑：Adam Danz 2019-9-23

在 MATLAB Online 中打开

Easiest way is to do it in a loop.

placeUnq = unique(place); %all unique place values
fit_line_groups = cell(numel(placeUnq),1); %store results
gof_groups = fit_line_groups;  %store results
% loop through each unique place
for i = 1:numel(placeUnq)
    [fit_line_groups{i}, gof_groups{i}] = fit(oxygen18(place==placeUnq(i)), deuterium(place==placeUnq(i)), ft);
end